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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 732
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    Explanations

    references to food consumption and dietary habits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IndentedString
    -0.47
    EnumMember
    -0.47
    UnusedPrivate
    -0.46
    RegistryLite
    -0.44
    发表于
    -0.42
    ResponseWriter
    -0.42
    prepareStatement
    -0.41
     ligiloj
    -0.41
    pherals
    -0.39
    mpada
    -0.39
    POSITIVE LOGITS
     eating
    2.56
     eat
    2.48
     eats
    2.19
     eaten
    2.17
     Eating
    2.08
    Eating
    2.05
     Eat
    2.05
    Eat
    2.02
    eating
    2.02
     ate
    1.88
    Activations Density 0.375%

    No Known Activations